Optimum Cost Prediction Reinforced Concrete is a M.Tech project topic for Civil Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Optimum Cost Prediction Reinforced Concrete Project Details
| Abstract |
The design of reinforced‑concrete cantilever retaining walls (RCCRWs) must balance safety and cost. This project explores a metaheuristic optimization algorithm that creates low‑cost RCCRW designs while meeting all geotechnical and structural limits. Key design variables used in the study are: – Wall height – Seismic‑zone coefficients – Backfill material properties – Backfill inclination angles The method runs a full parametric evaluation with these variables. After the optimization, a non‑linear regression fits the results to an empirical cost‑prediction equation. This equation lets engineers estimate wall cost quickly during early planning, without running many detailed structural analyses. The framework also checks safety against sliding, overturning, and bearing‑capacity failures, while keeping material costs
down. Geotechnical engineering students can use this approach to model different soil‑structure interaction cases, test the optimization algorithm, and see how changes in design parameters affect the overall economic feasibility of retaining walls.
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| Reference Paper |
Optimum Cost Prediction of Reinforced Concrete Cantilever Retaining Walls |
| Domain |
Civil Engineering |
| Sub-Domain |
Geotechnical Engineering / Foundation Engineering / Retaining Structures |
| PDF Download |
Download / View PDF |
| Get Help |
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